PAS-Net is a fully multiplier-free spiking neural network that enforces human joint constraints spatially and uses causal neuromodulation temporally to achieve state-of-the-art accuracy on IMU HAR with up to 98% lower dynamic energy via early-exit.
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SIGMA integrates SimRank for one-time global similarity aggregation in heterophilous GNNs, achieving O(n) complexity and reported 5x speedup on large graphs with SOTA accuracy.
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Towards Green Wearable Computing: A Physics-Aware Spiking Neural Network for Energy-Efficient IMU-based Human Activity Recognition
PAS-Net is a fully multiplier-free spiking neural network that enforces human joint constraints spatially and uses causal neuromodulation temporally to achieve state-of-the-art accuracy on IMU HAR with up to 98% lower dynamic energy via early-exit.
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SIGMA: An Efficient Heterophilous Graph Neural Network with Fast Global Aggregation
SIGMA integrates SimRank for one-time global similarity aggregation in heterophilous GNNs, achieving O(n) complexity and reported 5x speedup on large graphs with SOTA accuracy.